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in integrating and analyzing large omic data (e.g., genomics, transcriptomics, epigenomics, microbiome) who will contribute to the research and educational missions of the new Data Science Institute
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We are seeking a highly motivated bio-process development engineer to join a translational academic lab focused on the large-scale production of lab-grown red blood cells (lgRBCs). This role lies
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with experience in data analysis and management for large-scale, multisite clinical research studies. Experience and knowledge of aging, neurodegenerative diseases, and/or neuropsychiatric diseases is
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set up and communicate directly with Prime institution. Communicates grant application status to PI as needed/requested. Responding to sponsor's questions and requests for more information. When a grant
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the modern economy: Artificial Intelligence, Biotechnology, Computer Science, Cybersecurity, Data Analytics, Digital Media, and Fintech, as well as Physician Assistant Studies, Nursing, Occupational Therapy
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program data. This is a unique opportunity to contribute to a collaborative team in a setting that values initiative, flexibility, and operational excellence. Position Responsibilities: Responsibilities
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collaborative, team-based science that engages diverse stakeholders and communities. About the DSI and Director, DSI The Data Science Institute at Einstein is a new cross-disciplinary institute dedicated
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Graduate CSE Department includes programs in AI, Data Analytics and Visualization, and Cybersecurity, as well as the Katz School's Internet of Things (IoT) Lab and Security Operation Center (SOC). The Katz
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initiatives from planning through execution. Collaborative mindset and ability to build trust across departments and hierarchical levels. High attention to detail and ability to synthesize complex information
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sectors that are central to the modern economy: Artificial Intelligence, Biotechnology, Computer Science, Cybersecurity, Data Analytics, Digital Media, and Fintech, as well as Physician Assistant Studies